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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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data science. Scientific writing skills and first journal publications Experience in programming (e.g. Python, MATLAB) for experiment control and data analysis is advantageous. Self-motivated, organized
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; familiarity with Julia and Matlab is appreciated. -Excellent written communication skills in English. Additional comments Flexible starting date Website for additional job details https://emploi.cnrs.fr/Offres
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Posting Summary Logo Posting Number RTF00269PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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programming skills (for example, Matlab, Python, C++) Previous experience working with vision and image analysis Previous experience working with relevant human motion sensors Previous experience with
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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Familiarity with the basic concepts of quantum computing. - Curiosity to research
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neuronal network models to simulate spinal motor function. Use computational tools (e.g., Python, MATLAB, NEURON, or Brian2) to create biologically plausible models of spinal circuits. Validate models by
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optics and related models and techniques, or interest to learn them Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Advanced English (written and spoken) Will to learn new techniques and
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excitations in nanoscale structures (e.g. methods of computational chemistry) or related techniques. Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Will to learn new techniques and approaches